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Hadoop

Course Name        :  HADOOP Online Training
Duration                 :  40 hrs

0 STUDENTS ENROLLED

    • Introduction and Motivation of Hadoop
      • What is Big Data
      • Challenges in Big Data
      • Challenges in Traditional Application
      • New Requirements
      • What is Hadoop
      • Brief history of Hadoop
      • Features of Hadoop
      • Hadoop v/s RDBMS
      • Hadoop Ecosystem’s overview
      • Overview of HDFS and MapReduce
    • Understanding Hadoop Distributed File System
      • Understanding Configuration
      • HDFS Concepts
        • Blocks
        • Replication
        • Version File
        • Safe mode
        • Namespace IDs
      • Reading and Writing in HDFS
      • Understanding Name Node
      • Understanding Data Node
      • Understanding Secondary Name Node
      • Understanding Job Tracker
      • Understanding Task Tracker
    • HDFS Shell Commands
      • Hands On Exercise
    • Accessing HDFS using API
      • Understanding HDFS Java classes and methods
      • Hands On Exercise
    • Map Reduce Programming
      • Understanding block and input splits
      • Common Input and Output Formats
      • MapReduce Data types
      • Understanding Writable and WritableComparable (Introduction)
      • Data Flow in MapReduce Application
      • Understanding WordCount problem
      • Writing MapReduce Application
        • Understanding Mapper function
        • Understanding Reducer Function
        • Understanding Driver
        • Understanding Tool Runner
        • Hands on Exercise
    • MapReduce Continued
      • Using Combiner
      • Using Distributed Cache
      • Passing the parameters to mapper and reducer
      • Hands On Exercise
      • Writing Custom key values
      • Writing Custom Partitioner
      • Hands On Exercise
    • Introduction to PIG
      • Terminology
      • Understanding Pig Program, structure and Execution
      • Pig Data types
      • Loading and Dumping Data
      • Filtering
      • Group and Co-Group
      • Joins
        • Inner Join
        • Left Outer Join
        • Right Outer Join
        • Full Outer Join
      • Hands on
    • Introduction to Hive
      • Motivation and Understanding Hive
      • Using Hive Command line Interface
      • Data types and File Formats
      • Basic DDL operations
      • Schema Design
    • Introduction to No Sql Databases
      • Using HBase
      • What is HBase?
      • HBase Shell Commands overview
      • HBase Architecture
      • HBase API
      • Managing large data sets with HBase
      • Working Hive With Hbase(Integration)
    • Sqoop Exports and Imports

    Key Benefits:

    • Exposure to real time scenarios.
    • Job oriented training program.
    • Training in an enterprise highly focused in recruitment.
    • Resume Preparation and Interview Tips
    • Q & A
    • Mock Interview.

    Course Curriculum

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